Knowledge elicitation from experts and empirical machine learning are two distinct approaches to knowledge acquisition with differing and mutually complementary capabilities. Learning apprentices have provided environments in which a knowledge engineer may collaborate with a machine learning system allowing, for a synergy between the complementary approaches. The Knowledge Factory is a knowledge acquisition environment that allows a domain expert to collaborate directly with a machine learning system without the need for assistance from a knowledge engineer. This requires a different form of environment to the learning apprentice. This paper describes techniques for supporting such interactions and their implementation in a knowledge acquisition environment called The Knowledge Factory.
%0 Journal Article
%1 Webb96a
%A Webb, G. I.
%D 1996
%I Elsevier
%J Knowledge-Based Systems
%K Acquisition Experts, Knowledge Learning Machine Rule from with
%P 253-266
%T Integrating Machine Learning With Knowledge Acquisition Through Direct Interaction With Domain Experts
%V 9
%X Knowledge elicitation from experts and empirical machine learning are two distinct approaches to knowledge acquisition with differing and mutually complementary capabilities. Learning apprentices have provided environments in which a knowledge engineer may collaborate with a machine learning system allowing, for a synergy between the complementary approaches. The Knowledge Factory is a knowledge acquisition environment that allows a domain expert to collaborate directly with a machine learning system without the need for assistance from a knowledge engineer. This requires a different form of environment to the learning apprentice. This paper describes techniques for supporting such interactions and their implementation in a knowledge acquisition environment called The Knowledge Factory.
@article{Webb96a,
abstract = {Knowledge elicitation from experts and empirical machine learning are two distinct approaches to knowledge acquisition with differing and mutually complementary capabilities. Learning apprentices have provided environments in which a knowledge engineer may collaborate with a machine learning system allowing, for a synergy between the complementary approaches. The Knowledge Factory is a knowledge acquisition environment that allows a domain expert to collaborate directly with a machine learning system without the need for assistance from a knowledge engineer. This requires a different form of environment to the learning apprentice. This paper describes techniques for supporting such interactions and their implementation in a knowledge acquisition environment called The Knowledge Factory.},
added-at = {2016-03-20T05:42:04.000+0100},
audit-trail = {Link via Science Direct},
author = {Webb, G. I.},
biburl = {https://www.bibsonomy.org/bibtex/2da2d34949c49a58cf9f848998785361e/giwebb},
interhash = {c3cda60f9cc5d7954c7feaf7d87be727},
intrahash = {da2d34949c49a58cf9f848998785361e},
journal = {Knowledge-Based Systems},
keywords = {Acquisition Experts, Knowledge Learning Machine Rule from with},
pages = {253-266},
publisher = {Elsevier},
timestamp = {2016-03-20T05:42:04.000+0100},
title = {Integrating Machine Learning With Knowledge Acquisition Through Direct Interaction With Domain Experts},
volume = 9,
year = 1996
}